preprints_ui: qd39w_v1
Data license: ODbL (database) & original licenses (content) · Data source: Open Science Framework
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| qd39w_v1 | Body mass-dependent brain network organization | ABSTRACT Background/Objectives We compared neural organization between individuals with recommended, high, and very high body mass indexes (BMI). We hypothesized increased segregation of the putamen and cingulate gyrus with increasing BMI, and an increase in integration of the frontal gyrus in the recommended BMI (BMI < 25) group. Subjects/Methods This was a cross-sectional, secondary data analysis of the Human Connectome Project data. Independent components of brain regions (nodal) were used to create correlation matrices for the individuals at a recommended BMI (recBMI; n=156), a high BMI (hBMI; 25 < BMI < 30; n=109), and a very high BMI (vhBMI; BMI > 30; n=78). Graph theory-based metrics were calculated at the nodal, functional network, and module levels and compared between groups. Results The hBMI and vhBMI groups exhibited more modules (9 modules) than the recBMI group (8 modules). The vhBMI showed increased integration in the sensory module and higher connectivity between the subcortical and sensory modules (d= -1.28, SE= 0.15, pFDR3 = <0.0001). The vhBMI group exhibited lower clustering coefficients in the sensory and subcortical modules compared to the recBMI group (sensory: d= 0.86, SE= 0.41, pFDR3= 0.09; subcortical: d= 1.23, SE= 0.51, pFDR3= 0.03). The vhBMI group also showed higher participation coefficient compared to the recBMI group in the sensory module (d= 3.97, SE= 0.28, pFDR3< 0.0001). Post hoc behavioral tests revealed in the sensory module, increased delayed discounting was related to decreased clustering coefficient in the vhBMI group (d = 0.14, SE = 0.03, pFDR < 0.0001) and increased participation coefficient (d = 0.13, SE = 0.01, p < 0.0001). Conclusions Overall, higher BMI appears to be related to increased integration particularly in the sensory module. The increased integration may be a compensatory mechanism to reduce impulsive behavior. | 2020-11-23T18:56:32.790035 | 2020-11-30T19:48:02.133123 | 2020-11-23T19:00:59.844054 | nutrixiv | 1 | accepted | 1 | 1 | https://doi.org/10.31232/osf.io/qd39w | GNU Lesser General Public License (LGPL) 3.0 | Human Connectome Project; Obesity; fMRI; graph theory | ["Human Connectome Project", "Obesity", "fMRI", "graph theory"] | Grace Shearrer; Jennifer R Sadler; Afroditi Papantoni; kyle s burger | [{"id": "3s75z", "name": "Grace Shearrer", "index": 0, "orcid": "0000-0002-0450-4404", "bibliographic": true}, {"id": "syexd", "name": "Jennifer R Sadler", "index": 1, "orcid": null, "bibliographic": true}, {"id": "ru6kh", "name": "Afroditi Papantoni", "index": 2, "orcid": null, "bibliographic": true}, {"id": "794br", "name": "kyle s burger", "index": 3, "orcid": "0000-0001-6376-7514", "bibliographic": true}] | Grace Shearrer | Medicine and Health Sciences; Dietetics and Clinical Nutrition | [{"id": "59baca0954be810322d96d4e", "text": "Medicine and Health Sciences"}, {"id": "59baca0954be810322d96d52", "text": "Dietetics and Clinical Nutrition"}] | https://osf.io/download/5fbc05e6a7256300258346cc | 0 | available | no | [] | 2025-04-09T20:04:12.331397 |